Open AccessStrategies for students’ lean competencies formation in the educational process of the university
Author(s) -
С В Мішина
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1691/1/012213
Subject(s) - human performance technology , lean manufacturing , knowledge management , curriculum , audit , relevance (law) , process (computing) , computer science , psychology , business , lean project management , engineering , operations management , pedagogy , accounting , political science , law , operating system
The article examines efficiency of various strategies for students’ lean competencies formation in the educational process of the university. The relevance of the issue is justified by the fact that university graduates with developed lean competencies are in high demand on the job market. In the present article lean competencies are formally described requirements for personal, professional and other skills and qualities of students, action plans, methods and algorithms of actions related to lean production in a specific area. The solution to the problem indicated is carried out via analysing results of the pedagogical experiment. During the experiment the effectiveness of four strategies of students’ lean competencies formation was tested: formal education, practical training, hidden curriculum, mixed strategy. 208 3 rd and 4 th year students mastering undergraduate programs in "Economics (Accounting, Analysis and Audit), Economics (Finance and Business Analytics)", "Management (Production Management)", "State and Municipal Administration (Regional and Municipal Administration) were surveyed during the experiment." The study identified the following components of lean competencies: 1) knowledge and understanding; 2) skill; 3) implementation. These components correspond to the first three levels of lean competencies according to international classification, namely fundamental lean competencies: knowledge and understanding-level of awareness (1A); skill-level of diagnostics and analysis (1B); implementation-level of improvement and implementation (1C). Diagnostic tools included testing, expert evaluation of case solutions, and lean projects development. Statistical data processing was carried out on the basis of a Fisher F-test variance analysis for three or more independent groups using Statistica 10 and SPSS 20 software.